LAS (Log Ascii Standard) web utilities in no-framework procedural php
Robust representations of oil wells' intervals via sparse attention mechanism
Logio is an Unsupervised Machine learning framework for well log visualization, and well-well depth correlation using logs.
This project will explore, analyse and visualise publicly available wells datasets from the United States offshore data centre, the USGS boreholes website - Bureau of Safety and Environmental Enforcement (BSEE) https://www.data.bsee.gov/Main/Default.aspx with a particular focus on the Gulf of Mexico (GOM) wells. This project will study sandstone…
Basic Well Log Interpretation with python, pandas, matplotlib. Added lasio to handle LASfile input. Simplyfying vshale calculation. Added Indonesian and Simandoux equation.
Identifying outliers in well logs with machine learning.
Useful code for geoscientists in the energy sector. More useful code will be added over time. Special thanks to all those coders out there that helped to pave the way.
LAS (Log Ascii Standard v2.0) web utilities and api in Django web framework : beta-level software
A fast way to check and work with .dlis files.
This is a program with GUI developed with python, to read well logs and model geomechanical properties.
Robust representations of oil wells' intervals via sparse attention mechanism
Well logs correlation using dynamic time warping
Workflows developed for to display and interpret conventional well logs, depositional environments, sequence boundaries, heat flows, clay types, fracture intensities, and operational records
To check log data availability in a LAS file
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